Stephen Bates

Stephen Bates is an Assistant Professor of AI and Decision-making in the MIT EECS department and a Principal Investigator at the  Jameel Clinic. His work focuses on understanding uncertainty and reliable decision-making with data. In particular, he develops tools for statistical inference with AI models, data impacted by strategic behavior, and settings with distribution shift. In addition, he works on applications in the life sciences and sustainability.

Bates conducted his postdoctoral research with Michael I. Jordan in the UC Berkeley Statistics and EECS departments. He completed his Ph.D. in the Stanford Department of Statistics advised by Emmanuel Candès, where Ihewas awarded the Theodore W. Anderson Theory of Statistics Dissertation Award. Prior to his Ph.D., he studied statistics and mathematics at Harvard University, and spent a year teaching mathematics at NYU Shanghai.

Outside of research, he enjoys triathlons, sailing, hiking, and reading speculative fiction novels.